code: def forward(self, x):
      x = self.fc(x)
      if self.gating:
          x = self.cg(x)
      x = F.normalize(x)
  
      return x
  
imports: from torch.autograd import Variable
  import torch.nn
  import torch.nn.functional
  import torch
  from loupe import NetVLAD
  import numpy
  from torch.autograd import Function
label_desc: Use image node_id 2 for calling the Gated_Embedding_Unit obj's underlying member method code with example usage: obj.forward(x) and returns: x